How do we know when our AI system is reliable enough to ship?

You have crossed the hard line already. You can build the thing. Now your team sits in meetings arguing whether 99% reliable is good enough, or whether the cheaper model is reckless. This is not a technical debate in disguise. It is indecision wearing the mask of diligence. Say this plainly to each other: you do not have a knowledge gap. Together you have not made enough of these calls yet to trust your own judgment. Every debate that circles back to the start is a reps problem, not a truth problem. So stop searching for the argument that ends all arguments. Name the actual tradeoff out loud. Decide, as a group, in one sitting. Ship. Watch what breaks. Adjust the threshold next time. Do this enough and the choice stops feeling like a crisis.

◆ How this problem reads on the two dials

GuidanceKnowledge

More coaching

A little to learn

1:1 with AureliusWith others (a Pod)

Some one-to-one

Practise with peers

The team already has the technical knowledge; what's missing is practiced, shared judgment, so the page weights toward coaching over teaching.

How the two dials adapt to you →

What’s really going on

You will not find a formula that removes the choice. You already know how to build the system — what you lack are the repetitions. Set a plain threshold today: this reliable, this costly, no more debate. Ship against it. Then correct with the next one. That is the whole method.

🔒 What you’ll build togetherUnlock by starting

A moveWrite your reliability threshold down before you build, not after you're arguing.

A moveAssign one person to own each cost tradeoff decision — not a committee vote.

A moveShip the smaller, cheaper version first and log exactly where it fails.

A moveReview every failure as a group within a week, never let it wait a quarter.

A moveCommit to three of these decisions before you revisit the whole process.

PractiseThreshold Council · a Pod of 4 · 30 min

What changes unlock by starting

Your team decides faster because you stop re-arguing first principles every time.
You build a shared record of what 'reliable enough' actually looks like.
Cost tradeoffs stop feeling like moral arguments and start feeling like settings you adjust.
You ship more often because you stop waiting for a certainty that was never coming.

One object, two jobs: a public answer to a real problem, and — the moment you start the chat — Aurelius’s live plan for your version of it.